Unverified50% confidenceFactExact time
智能体工作流的GPU负载呈现突发性和不规律性，形成突发-静默交替的复杂负载曲线
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
SlickToken: A Deep Dive into GPU Fleet and Agentic Workflow Planning
redditr/mlops7/10/2026
Related Claims
UnverifiedGPU并行归约操作的浮点累加顺序不固定导致传统Transformer注意力机制的实际输出存在微小的不可复现波动68% similarUnverified当同一Warp内不同线程执行不同分支路径时，GPU必须串行执行所有分支，造成线程束分支发散导致的性能损失67% similarUnverifiedAgentic systems often run continuously every minute via scheduled tasks, and combined with multiple rounds of model calls, tool call results being fed back in, and reflection steps, token costs escalate exponentially.63% similarUnverified张量并行通过 All-Reduce 操作在所有参与 GPU 之间同步中间激活值，通信量随并行度线性增长61% similarUnverifiedMulti-agent systems introduce new complexity: each context transfer between agents consumes additional tokens, and errors are amplified in a cascading fashion across the agent chain.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/491813API
curl https://kongchang.com/api/v1/knowledge/claims/491813MCP
get_claim(id=491813)